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Cloud Data Architect

  • Full Time, onsite
  • Mindlance
  • Hybrid(1-2 days per week onsite), United States of America
Salary undisclosed

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Title Cloud Data Architect

Term: Till 30th June 2025 (With the possibility of extension Generally renewed on an annual basis.)

Location: Quincy, MA 02171

Mode: (1-2 days per week onsite)

Hours per Week: 37.50

Position Overview:

  • The Data Office is seeking a Senior Cloud Data Architect to play a crucial role in leading Data platform architecture design and implementation. The Data Office is leading a central Data Modernization program that will include new central data capabilities, as well as improvements and coordination. The ideal candidate is an expert in the Design and implementation of Cloud Data platforms using decentralized Data architecture principles like Data Mesh. You can clearly articulate and present different data architecture principles and standards. In this role, you are comfortable speaking to both business and technical stakeholders to ensure combined understanding and collaborative solutions. This role will be expected to own tasks and follow-up related to cloud data platform Design and development activities and establish well-documented best practices and processes related to the Data Modernization efforts. This is a new role for an expanding office which will lead Data architecture activities. In the first 6 months, you will work with the Chief Data Officer, Director of Data Management and Engineering, Platform Administrators, and Data Engineers to support data modernization efforts around enterprise data mesh using modern cloud data tools (Snowflake, IICS) and the ability to produce core KPIs on agency activities through Tableau. Data will be combined from multiple federated data sources, such as agency applications and data warehousing, into a coherent reporting and analytical picture. As the program matures, opportunities will arise to engage in more challenging analytical problems.

Responsibilities:

  • Designs and develops architecture of cloud-based data management systems.
  • Proficiency and practical experience in implementing decentralized data architectures like Data Mesh.
  • Creates data models including data storage, access, and usage patterns for cloud environments.
  • Defines data security policies, authentication, and authorization mechanisms for cloud-based platforms.
  • Collaborates with cross-functional teams to architect highly scalable, highly available, and highly performant cloud data solutions.
  • Evaluate and recommend new cloud products and services for efficient data storage and processing.
  • Monitors the performance of cloud data solutions and strategizes optimization measures.
  • Ensures compliance with data governance policies and best practices in the cloud.
  • Implements data management and data governance processes for cloud data.
  • Conducts thorough analysis and documentation of cloud data architecture strategies and designs.
  • Establish regular overall system performance assessment processes and action plans.
  • Provide direction for the design and development of the data layers including review of ETL requirements.
  • Capable of leading team design sessions and facilitating decisions.
  • Experience in Data Integration leveraging Informatica Snowflake, IICS, SQL, and Python code to solve complex use cases.
  • Ensure timely delivery of solutions meeting requirements and expectations.

Qualifications:

  • 5+ years of experience in Cloud Data Architecture, data warehousing, data modeling, ETL, enterprise and business information system architectures, and system engineering
  • Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles, specifically Decentralized data architectures like Data Mesh.
  • 3-5 years of experience architecting/developing Cloud-based (AWS) data solutions.
  • 5+ years of Cloud database platform experience such as Snowflake.
  • Experience in creating and maintaining end-to-end data architectures.
  • Strong communication skills and comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers.
  • Proficiency with Unix, Linux, and shell scripting
  • Experience working with a large, multi-terabyte enterprise data platform in Cloud.
  • Experience with system administration, database administration, storage architectures, backup & recovery, and networking.
  • Informatica (IICS) ETL & Snowflake Data Warehousing experience
  • Experience working with highly sensitive healthcare information and familiarity with HIPAA and other data privacy controls.

Preferred skills:

  • Amazon Web Services (AWS) Certification or Cloud Data Architect Certification
  • Snowflake certification
  • Tableau reporting experience
  • Salesforce experience

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veteran

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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